# Senior / Staff Software Engineer, Data Infrastructure

**Company:** [Suno](https://hotfix.jobs/companies/suno)
**Location:** Boston, MA, New York, NY
**Role:** Data Engineering
**Salary:** $222k – $288k/yr
**Experience:** 5+ years
**Skills:** Python, AWS, Kinesis, Firehose, AWS Lambda, S3, Glue, Snowflake, Dagster, dbt, Terraform, Airflow
**Posted:** 2026-04-30

> Builds and scales data infrastructure including ingestion pipelines, orchestration with Dagster, and optimization on AWS and Snowflake. Requires 5+ years experience with data pipelines, Python, and cross-functional collaboration in a high-growth AI music platform.

## Job Description

## What You’ll Do
- Design, build, and maintain scalable data ingestion pipelines using AWS services such as **Kinesis**, **Firehose**, **Lambda**, **S3**, and **Glue**.
- Own the architecture and reliability of core data infrastructure, including both streaming and batch pipelines.
- Build and maintain data workflows and orchestration using **Dagster**, ensuring pipelines are modular, testable, and observable.
- Partner with backend and product engineers to define event schemas, data contracts, and ingestion patterns from production systems.
- Improve the reliability and observability of data pipelines through monitoring, alerting, lineage tracking, and automated recovery mechanisms.
- Collaborate with Analytics and ML teams to ensure the data platform supports a wide range of use cases, from reporting to model training.
- Optimize pipelines and storage for performance, cost efficiency, and scalability across **AWS** and **Snowflake**.
- Implement infrastructure as code (e.g., **Terraform**) to manage AWS and Snowflake resources in a consistent, reproducible way.
- Contribute to data platform standards, including schema evolution, data quality enforcement, and pipeline reliability best practices.
- Lead technical design discussions and help shape the future architecture of Suno’s data platform.
- Mentor other engineers and raise the bar for engineering quality, reliability, and maintainability.

## What You’ll Need
- 5-7+ years of experience as a Software Engineer, Data Engineer, or in a similar infrastructure-focused role.
- Strong programming skills (**Python** preferred) with experience building production-grade distributed systems.
- Deep experience building and operating data pipelines, including both real-time (streaming) and batch processing systems.
- Hands-on experience with **AWS** data services, including **Kinesis** (Streams), **Firehose**, **Lambda**, and **Glue**.
- Strong experience with **Snowflake**, including data modeling, performance optimization, and large-scale data processing.
- Experience with orchestration frameworks such as **Dagster** (or similar tools like **Airflow**), with an emphasis on building maintainable, observable workflows.
- Proficiency with **dbt** for managing transformations, testing, and modular data modeling.
- Experience designing systems for reliability and observability (monitoring, logging, alerting, tracing).
- Familiarity with infrastructure as code (e.g., **Terraform**) and managing cloud resources programmatically.
- Strong understanding of data warehousing, data modeling, and pipeline design best practices.
- Experience collaborating cross-functionally with data, ML, and product engineering teams.
- Ability to operate in ambiguous environments and make pragmatic, high-quality technical decisions.
- A strong sense of ownership and a track record of delivering scalable infrastructure systems.

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**Apply:** https://hotfix.jobs/jobs/cf994b3c-07c1-4339-b978-ea243494bf91
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